Joint Topic Model with Selected Side Information for Inter-University Syllabus Analysis Focusing on the Variety of Instructional Approaches

Kentaro Shiga, Naoyuki Morimoto. Joint Topic Model with Selected Side Information for Inter-University Syllabus Analysis Focusing on the Variety of Instructional Approaches. In Claude Frasson, Phivos Mylonas, Christos Troussas, editors, Augmented Intelligence and Intelligent Tutoring Systems - 19th International Conference, ITS 2023, Corfu, Greece, June 2-5, 2023, Proceedings. Volume 13891 of Lecture Notes in Computer Science, pages 638-650, Springer, 2023. [doi]

@inproceedings{ShigaM23,
  title = {Joint Topic Model with Selected Side Information for Inter-University Syllabus Analysis Focusing on the Variety of Instructional Approaches},
  author = {Kentaro Shiga and Naoyuki Morimoto},
  year = {2023},
  doi = {10.1007/978-3-031-32883-1_56},
  url = {https://doi.org/10.1007/978-3-031-32883-1_56},
  researchr = {https://researchr.org/publication/ShigaM23},
  cites = {0},
  citedby = {0},
  pages = {638-650},
  booktitle = {Augmented Intelligence and Intelligent Tutoring Systems - 19th International Conference, ITS 2023, Corfu, Greece, June 2-5, 2023, Proceedings},
  editor = {Claude Frasson and Phivos Mylonas and Christos Troussas},
  volume = {13891},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-031-32883-1},
}